lu-wang-g 65f8703572 Flatbuffers Python Object API (#5616)
* Flatbuffers Python Object API

Implement the logic to generate the Python object API that can
unpack the data from a buf class into an object class, and pack
the data of an object class to a buf class.

* Fix the build issues

Remove unused parameters and replace auto in the for-loop statement
with std::string to make it compatible with VS2010.

* Fix the build issues.

* Add support for Array type

Added logic to handle Array type in Python Object API. Updated the
generated code accordingly.

* Fix the old style casting from int to char

* Fixed another conversion from int to char

* Fixed the import for typing

Importing typing may cause errors when a machine do not have the
moduel typing installed. This PR fixes the issue by guarding
"import typing" with the "try/except" statement.

* Fix issue of iterating the vector of import list

* Update the generated examples using generate_code.sh

* Fix the import order for typing

The import list was stored in unordered_set, so that each generated
codes may have different import order. Therefore, it failed in the
consistency test where two generated copies need to have exactly the
same apperance.

* Optimize unpack using numpy

Use numpy to unpack vector whenever it is possible to improve unpack
performance.

Also, added codegen command for Python specificly in generate_code.sh,
because --no-includes cannot be turn on for Python.

* Fix the import order

* Update generate_code.bat for windows accordingly

* Replace error message with pass

Avoid printing error message for every Python2 users about typing.
Replace it with pass.
2019-12-02 14:11:28 -08:00
2019-02-21 20:06:04 +01:00
2019-05-16 11:43:31 -07:00
2019-11-14 15:46:46 -08:00
2019-12-02 14:11:28 -08:00
2019-04-24 11:34:53 -07:00
2018-09-21 10:42:00 -07:00

logo FlatBuffers

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FlatBuffers is a cross platform serialization library architected for maximum memory efficiency. It allows you to directly access serialized data without parsing/unpacking it first, while still having great forwards/backwards compatibility.

Go to our landing page to browse our documentation.

Supported operating systems

  • Windows
  • MacOS X
  • Linux
  • Android
  • And any others with a recent C++ compiler.

Supported programming languages

  • C++
  • C#
  • C
  • Dart
  • Go
  • Java
  • JavaScript
  • Lobster
  • Lua
  • PHP
  • Python
  • Rust
  • TypeScript

and more in progress...

Contribution

To contribute to this project, see CONTRIBUTING.

Licensing

Flatbuffers is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.


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FlatBuffers: Memory Efficient Serialization Library
Readme Apache-2.0 73 MiB
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